The power electronics industry is undergoing a revolution driven by an industry 4.0
perspective, with smart and green/hybrid energy management systems being the …

DC microgrids encounter the challenges of constant power loads (CPLs) and pulsed power
loads (PPLs), which impose the requirements of fast dynamics, large stability margin, high …

In this article, we propose a concise fuzzy neural control framework for waverider vehicles
with input constraints, while the spurred prescribed performance can be guaranteed, and the …

Nonstationary fuzzy inference systems (NFISs) model the variation in opinions of individual
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …

This paper provides an overview of modern feedback control methods for the voltage
regulation in DC/DC converters of DC microgrids. Control objectives and practical …

This article proposes an adaptive type-2 fuzzy neural network control system to enhance the
performance of power quality improvement. First, the dynamic model of APF with lumped …

This paper focuses on the dynamical characteristics of complex-valued memristor-based
BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different …

This article considers a robust intelligent control problem for a class of power-electronic
converters via a neuro-fuzzy learning mechanism. First, a terminal sliding-mode control …

This paper is concerned with the problems of dynamic practical-sliding-mode control (SMC)
and estimation of unknown functions for singular Markovian jump systems (MJSs) with …

This manuscript presents an intelligent control design for the helical trajectory tracking of an
underactuated quadrotor. One may see that the entire kinematics and dynamics are derived …